Classifying Human Gender by Learning the Acoustic Features of Voice Samples

Volume 20 No 7 (2022)

Sandeep Kumar ,Rahul Mishra,Bhawana Tyagi

DOI: 10.14704/nq.2022.20.7.NQ33199

Abstract

Human beings have various capability that is helpful for acquiring different types of knowledge form environment or surroundings. In which of them to find human gender by their voice is an easy task to the human because human as a growing phase of life acquires knowledge form surrounding and listening data. But when it comes to the computer, then it becomes a difficult task to identify the gender of the human being by their voice. To obtain this task from the machine or robots we need to train that particular machine by providing relevant features, methodologies, and diverse training dataset

Keywords

speech signal processing, turnR library, humans gender recognition, Neural Network, Naïve Bayes, voice features, machine learning

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